Measurement invariance explorer - R package to explore measurement invariance
R functions to generate lavaan code for testing longitudinal measurement invariance
R package for Bayesian measurement invariance assessment using mixed effects and shrinkage.
Product of Indicators (PI) for MIMIC/RFA Models in DIF detection
Project Multiple Indicator growth mixture models
R package to calculate the degrees-of-freedom in multi-group confirmatory factor analysis models testing measurement invariance
Validated 12-item AI Readiness Scale (AIRS). 7-phase psychometric validation (N=362): EFA→CFA→Invariance→SEM→Mediation→Moderation→Behavioral. Extends UTAUT2, R²=0.819. Key findings: autonomy primacy, ChatGPT gateway, multi-tool advantage. Includes intervention framework. Dissertation + implementation guide.
All code associated with conducting the analysis for my project evaluating measurement invariance in US caregivers.
The following codes were used to conduct Confirmatory Factor Analysis and Structural Equation Modeling in R, and Multiple Group Analysis in R for my thesis entitled "Analysing DASS through Structural Equation Modeling". Note: THE DATA USED IS NOT MY OWN AND WAS OBTAINED FROM Open-Source Psychometrics Project (https://fhssrsc.byu.edu/r-works)
The consequences of spending money on experiences (e.g., travel) vs. materials (e.g., clothes)
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